Ad Budget Optimization AI Prompt
Advertising & Paid MediaadvancedClaude 3.5 Sonnet or GPT-4o. Claude excels at complex multi-variable analysis and provides more structured reasoning for budget trade-offs. GPT-4o offers faster processing for large datasets and slightly better numerical accuracy. For real-time budget optimization, Gemini 2.0 Flash provides excellent speed with comparable analysis quality.
When to Use This Prompt
Use this prompt when you need to reallocate advertising budgets across multiple campaigns to improve overall ROI, when facing budget constraints requiring strategic cuts, or when analyzing underperforming channels. It's ideal for quarterly budget reviews, post-campaign analysis, or when preparing budget justifications for leadership.
The Prompt
You are an expert marketing analyst specializing in paid advertising budget allocation and ROI optimization. Analyze the following advertising performance data and provide a comprehensive budget reallocation strategy.
## Current Campaign Performance Data
Provide the following metrics for each active campaign:
- Campaign name: [CAMPAIGN_NAME]
- Platform: [PLATFORM - e.g., Google Ads, Meta, LinkedIn]
- Current monthly budget: $[BUDGET]
- Impressions: [NUMBER]
- Clicks: [NUMBER]
- Conversions: [NUMBER]
- Cost per click (CPC): $[CPC]
- Cost per conversion (CPA): $[CPA]
- Return on ad spend (ROAS): [ROAS]
- Conversion rate: [RATE]%
- Quality score or relevance score: [SCORE]
## Business Context
- Total monthly advertising budget: $[TOTAL_BUDGET]
- Primary business objective: [OBJECTIVE - e.g., lead generation, sales, brand awareness]
- Target customer acquisition cost (CAC): $[CAC]
- Average customer lifetime value (LTV): $[LTV]
- Campaign duration: [TIMEFRAME]
- Key performance indicator (KPI) priority ranking: [LIST_KPIS]
## Analysis Requirements
For each campaign, calculate:
1. Current efficiency metrics (ROAS, CAC vs. target, conversion efficiency)
2. Performance vs. benchmark (identify over/underperformers)
3. Budget elasticity (potential ROI if budget increases/decreases by 10-20%)
4. Audience overlap and cannibalization risks
5. Seasonal or timing factors affecting performance
## Optimization Strategy
Provide a detailed reallocation plan that includes:
- Recommended budget shifts (specific dollar amounts and percentages)
- Rationale for each reallocation based on performance data
- Expected impact on overall ROAS and CAC
- Risk assessment for reducing budgets on specific campaigns
- Quick wins (low-risk optimizations with immediate impact)
- Long-term strategic adjustments
- Testing recommendations for underperforming channels
- Timeline for implementation and measurement
## Output Format
Structure your response as:
1. Executive Summary (key findings and top 3 recommendations)
2. Campaign-by-campaign analysis with specific reallocation amounts
3. Consolidated budget allocation table
4. Risk mitigation strategies
5. 30/60/90-day implementation roadmap
6. Key metrics to monitor post-optimization
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Tips for Best Results
- 1.Include 12+ months of historical data if available to account for seasonality and trend changes. Single-month snapshots can be misleading for budget decisions.
- 2.Specify your CAC target and LTV explicitly—the AI will use these to identify campaigns worth scaling even if current ROAS seems modest.
- 3.Request the AI calculate 'budget elasticity' for each channel—this reveals which campaigns can absorb larger budgets without efficiency loss.
- 4.Ask for a 'risk mitigation' section that identifies which budget cuts could harm brand presence or long-term customer acquisition, not just short-term ROI.
Example Output
## Executive Summary
Based on current performance data, reallocating 18% of total budget from underperforming channels to high-ROAS campaigns could increase overall ROAS from 3.2x to 4.1x while reducing CAC by $12. Priority actions: increase Google Search budget by $8,000, reduce Meta awareness campaigns by $5,000, and test LinkedIn conversion campaigns with $3,000.
## Campaign-by-Campaign Analysis
**Google Search Ads**
- Current budget: $25,000 | ROAS: 4.8x | CAC: $45
- Status: Top performer
- Recommendation: Increase to $33,000 (+$8,000)
- Rationale: Highest ROAS with quality score of 9/10. Budget elasticity analysis suggests 15% increase will yield proportional conversion growth with minimal CPC inflation.
- Expected impact: +$38,400 in revenue, CAC remains stable
**Meta Awareness Campaign**
- Current budget: $12,000 | ROAS: 1.9x | CAC: $78
- Status: Underperformer
- Recommendation: Reduce to $7,000 (-$5,000)
- Rationale: ROAS below target threshold. High audience overlap with Google Search detected. Recommend shifting to conversion-focused creative testing instead.
- Expected impact: Reduce inefficient spend while maintaining brand presence
**LinkedIn B2B Campaign**
- Current budget: $8,000 | ROAS: 2.1x | CAC: $92
- Status: Emerging opportunity
- Recommendation: Test increase to $11,000 (+$3,000)
- Rationale: Strong conversion quality despite lower volume. Audience non-overlapping with other channels. Recommend A/B testing expanded audience targeting.
- Expected impact: Validate scalability before major investment
## Consolidated Budget Allocation
Total budget: $50,000
- Google Search: $33,000 (66%)
- Meta Conversion: $8,000 (16%)
- LinkedIn B2B: $11,000 (22%)
- Testing reserve: $2,000 (4%)
## 30/60/90-Day Roadmap
**Week 1-2:** Implement budget increases for Google Search, launch LinkedIn audience expansion test
**Week 3-4:** Monitor performance, pause underperforming Meta audiences
**Month 2:** Analyze test results, optimize winning LinkedIn segments
**Month 3:** Scale successful tactics, prepare next quarter strategy
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Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.